Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. The goal is to develop predictive analytics models that will be able to recommend changes to prevent such accidents from occurring in the first place. New machine learning initiatives offer promising opportunities to lower car accidents.

Machine Learning 144

Machine Learning Machine Learning Algorithm Data Scientist 144

Tableau

MARCH 23, 2022

Many organizations are challenged with scaling analytics to reach every employee and/or realizing the full value of their analytics investments. Organizations are investing trillions to become more data-driven, but only 8% successfully scale analytics to get value from their data, according to McKinsey. .

Analytics 62

Analytics Analytics Tableau Predictive Analytics 62

Smart Data Collective

JULY 17, 2019

In 2017, the number of seniors over the age of 65 reached a record 1 billion people. Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage.

Artificial Intelligence 106

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 106

Smart Data Collective

DECEMBER 23, 2019

From predictive analytics to vulnerability databases, businesses already have access to everything they need. Predicting Problems. If these companies don’t act fast, they could face similar blowback to what Equifax endured back in 2017.

Database 76

Database Predictive Analytics Machine Learning Machine Learning 76

Dataconomy

FEBRUARY 6, 2024

Data analytics and business intelligence As businesses have opted for digital transformation, they are faced with a tsunami of data that is now incredibly valuable but is burdensome to collect, analyze, and process. times since 2017. So AI is no longer a passing fad; it’s the future of the tech world.

ML 121

ML ML Machine Learning Machine Learning 121

Smart Data Collective

AUGUST 9, 2022

Predictive analytics tools have made it easier for traders to spot trends that would otherwise be missed. In 2017, the country’s central bank issued a statement saying that it sees “great potential” in Blockchain technology. The government of Djibouti has been supportive of the cryptocurrency industry.

AI 124

AI AI Artificial Intelligence Artificial Intelligence 124

Smart Data Collective

AUGUST 15, 2019

billion on Google AdWords in 2017 alone. AI can predict the CTR of future ads, as well as the impact on quality scores. A growing number of advertising networks are using historical data to predict the likelihood of a conversion from a given customer. Social Media Today reported that advertisers spent $10.1

AI 77

AI AI Machine Learning Machine Learning 77

DataRobot Blog

MAY 25, 2022

In 2017, Hurricane Harvey struck the U.S. With DataRobot, professionals and organizations impacted by natural disasters can solve an array of difficult predictive analytics questions and rapidly gain value from their data. Gulf Coast and caused approximately $125 billion in damage. Other Disaster Applications for DataRobot.

AI 52

AI AI Data Scientist Predictive Analytics 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

Machine Learning 52

Machine Learning Machine Learning Computer Science Computer Science 52

Mlearning.ai

APRIL 10, 2023

Clustering locally can allow avoiding the transmission of sensitive data over the network Other benefits : Clustering can also be deployed as a machine learning model to perform anomaly detection and predictive analytics. Clustering Algorithms for Enhanced Trustworthiness on High-Performance Edge-Computing Devices. Electronics.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

Smart Data Collective

JULY 8, 2019

between 2016 and 2017. New predictive analytics and machine learning technology should address these concerns. Accident data provides insight and valuable information that can be used to help improve safety in the future. The reporting of accidents is crucial in maintaining the collection of this data. increased by 5.3%

Big Data 92

Big Data Big Data Predictive Analytics Machine Learning 92

AWS Machine Learning Blog

NOVEMBER 6, 2024

For additional details about this use case, see Live call analytics and agent assist for your contact center with Amazon language AI services and Post call analytics for your contact center with Amazon language AI services. In this case, we use a sample from the Amazon Transcribe Post Call Analytics Solution GitHub repository.

AWS 118

AWS Machine Learning Machine Learning ML 118